Coming back from summer with a “time for a step up” feeling?
We’re hiring a Data Engineer to join a modern data function supporting the Scandinavian business (Sweden + Norway), while collaborating daily with a broader European data community. You’ll be close to local stakeholders in Gothenburg, but you’ll also benefit from the standards, tooling, and peer support of an international setup.
Location: Gothenburg (hybrid / on-site approx. 50%)
Language: Fluent Swedish + fluent English (must-have)
Experience: Ideally 2+ years commercial (Master’s preferred)
Employment: Permanent
The work
You’ll design, build and improve data systems that directly impact business performance:
- Build and maintain data pipelines and ETL/ELT processes
- Improve data quality, reliability, and availability (monitoring + practical documentation)
- Translate real business needs into scalable data solutions with local colleagues
- Collaborate with international peers on platform, tooling, and solution design
- Depending on interest and fit, there’s room to stretch into adjacent analytics / data science tasks
What you’ll bring
- Strong Python + SQL in a commercial environment
- Cloud exposure (ideally Azure)
- Hands-on exposure to orchestration (Airflow / ADF or similar)
- Familiarity with modern data processing approaches (PySpark/Polars/Delta Lake), or strong willingness to learn fast
- A structured mindset: you care about clean, reliable pipelines (not just “getting it to run”)
- Excellent communication skills in Swedish and English
Why this is a good move (especially if you’re AI/ML-curious)
A lot of strong data engineers today want to get closer to ML/AI work—but many teams don’t have a real path for that.
Here, the business is already using ML/AI, and you’ll work alongside people doing that work. While no one can promise a guaranteed transition timeline, this team has a proven pattern: several of their current ML/AI specialists started in data engineering and moved across over time as they built platform knowledge and delivered impact.
This makes the role a strong fit if you are:
- A solid Data Engineer who enjoys building the foundations properly
- Someone who has recently studied ML/AI (courses, projects, light hands-on exposure) and wants a genuine environment where that interest can grow
- Feeling “stuck” because your current employer has no AI/ML direction and limited opportunity to move beyond core DE
Next Steps
If you are a motivated data professional looking to make an impactful contribution within an innovative and caring organization, we invite you to apply today. Submit your CV via our portal, and our team will review your application promptly. We look forward to exploring your potential to join this talented team and support our client’s ongoing success.
Interested in this Role? Submit your CV today!
Please don’t hesitate to contact any of our team with any questions you may have on Email: [email protected]
